The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-23"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "5310362 (up from 5210817 yesterday: 1.91 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "342097 (up from 338160 yesterday: 1.16 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.44



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1622612 21675 1.35 97087 1108 1.15 5.98
Brazil 347398 16508 4.99 22013 965 4.58 6.34
Russia 335882 9434 2.89 3388 139 4.28 1.01
United Kingdom 258504 2960 1.16 36757 282 0.77 14.22
Spain 235290 466 0.20 28678 50 0.17 12.19
Italy 229327 669 0.29 32735 119 0.36 14.27
France 182036 21 0.01 28218 0 0.00 15.50
Germany 179986 276 0.15 8261 33 0.40 4.59
Turkey 155686 1186 0.77 4308 32 0.75 2.77
Iran 133521 1869 1.42 7359 59 0.81 5.51
India 131423 6629 5.31 3868 142 3.81 2.94
Peru 115754 4056 3.63 3373 129 3.98 2.91
Canada 85151 1204 1.43 6466 106 1.67 7.59
China 84084 3 0.00 4638 0 0.00 5.52
Saudi Arabia 70161 2442 3.61 379 15 4.12 0.54
Mexico 65856 3329 5.32 7179 190 2.72 10.90
Chile 65393 3536 5.72 673 43 6.83 1.03
Belgium 56810 299 0.53 9237 25 0.27 16.26
Pakistan 52437 1743 3.44 1101 34 3.19 2.10
Netherlands 45265 177 0.39 5830 23 0.40 12.88
Qatar 42213 1732 4.28 21 2 10.53 0.05
Ecuador 36258 430 1.20 3096 40 1.31 8.54
Belarus 35244 941 2.74 194 4 2.11 0.55
Sweden 33188 379 1.16 3992 67 1.71 12.03
Bangladesh 32078 1873 6.20 452 20 4.63 1.41
Singapore 31068 642 2.11 23 0 0.00 0.07
Switzerland 30725 18 0.06 1905 2 0.11 6.20
Portugal 30471 271 0.90 1302 13 1.01 4.27
United Arab Emirates 28704 812 2.91 244 3 1.24 0.85
Ireland 24582 76 0.31 1604 12 0.75 6.53
Indonesia 21745 949 4.56 1351 25 1.89 6.21
South Africa 21343 1218 6.05 407 10 2.52 1.91
Poland 20931 312 1.51 993 11 1.12 4.74
Ukraine 20580 432 2.14 605 17 2.89 2.94
Kuwait 20464 900 4.60 148 10 7.25 0.72
Colombia 20177 1046 5.47 705 23 3.37 3.49
Romania 17857 145 0.82 1176 10 0.86 6.59
Israel 16712 22 0.13 279 0 0.00 1.67
Japan 16536 23 0.14 808 12 1.51 4.89
Egypt 16513 727 4.61 735 28 3.96 4.45
Austria 16486 50 0.30 639 4 0.63 3.88
Dominican Republic 14422 433 3.10 458 2 0.44 3.18
Philippines 13777 180 1.32 863 6 0.70 6.26
Denmark 11487 59 0.52 561 0 0.00 4.88
Argentina 11353 704 6.61 445 12 2.77 3.92
Korea, South 11190 25 0.22 266 0 0.00 2.38
Serbia 11092 68 0.62 238 1 0.42 2.15
Panama 10577 310 3.02 299 4 1.36 2.83
Afghanistan 9998 782 8.49 216 11 5.37 2.16
Czechia 8890 77 0.87 314 2 0.64 3.53
Bahrain 8802 388 4.61 13 1 8.33 0.15
Norway 8346 14 0.17 235 0 0.00 2.82
Algeria 8113 195 2.46 592 10 1.72 7.30
Kazakhstan 7919 0 0.00 35 0 0.00 0.44
Nigeria 7526 265 3.65 221 0 0.00 2.94
Morocco 7406 74 1.01 198 1 0.51 2.67
Oman 7257 463 6.81 36 2 5.88 0.50
Malaysia 7185 48 0.67 115 0 0.00 1.60
Australia 7114 15 0.21 102 1 0.99 1.43
Moldova 6994 147 2.15 242 5 2.11 3.46
Ghana 6617 131 2.02 31 0 0.00 0.47
Finland 6568 31 0.47 306 0 0.00 4.66
Armenia 6302 374 6.31 77 3 4.05 1.22
Bolivia 5915 336 6.02 240 10 4.35 4.06
Cameroon 4400 0 0.00 159 0 0.00 3.61
Iraq 4272 308 7.77 152 5 3.40 3.56
Luxembourg 3990 9 0.23 109 0 0.00 2.73
Azerbaijan 3982 127 3.29 49 3 6.52 1.23
Hungary 3713 35 0.95 482 6 1.26 12.98
Sudan 3628 250 7.40 146 9 6.57 4.02
Honduras 3477 0 0.00 167 0 0.00 4.80
Guinea 3176 109 3.55 20 1 5.26 0.63
Uzbekistan 3115 87 2.87 13 0 0.00 0.42
Guatemala 3054 311 11.34 55 4 7.84 1.80
Thailand 3040 3 0.10 56 0 0.00 1.84
Senegal 2976 67 2.30 34 1 3.03 1.14
Greece 2876 2 0.07 171 2 1.18 5.95
Tajikistan 2738 187 7.33 44 0 0.00 1.61
Bulgaria 2408 36 1.52 126 1 0.80 5.23
Bosnia and Herzegovina 2391 19 0.80 141 0 0.00 5.90
Cote d’Ivoire 2366 25 1.07 30 1 3.45 1.27
Djibouti 2270 0 0.00 10 0 0.00 0.44
Croatia 2243 0 0.00 99 0 0.00 4.41
Congo (Kinshasa) 2025 80 4.11 63 0 0.00 3.11
North Macedonia 1941 20 1.04 113 1 0.89 5.82
Gabon 1934 206 11.92 12 0 0.00 0.62
Cuba 1931 15 0.78 81 0 0.00 4.19
Estonia 1821 14 0.77 64 0 0.00 3.51
El Salvador 1819 94 5.45 33 0 0.00 1.81
Iceland 1804 1 0.06 10 0 0.00 0.55
Lithuania 1616 12 0.75 63 2 3.28 3.90
Somalia 1594 0 0.00 61 0 0.00 3.83
New Zealand 1504 0 0.00 21 0 0.00 1.40
Slovakia 1504 1 0.07 28 0 0.00 1.86
Slovenia 1468 0 0.00 106 0 0.00 7.22
Kyrgyzstan 1365 15 1.11 14 0 0.00 1.03
Maldives 1313 39 3.06 4 0 0.00 0.30
Kenya 1192 31 2.67 50 0 0.00 4.19
Guinea-Bissau 1114 0 0.00 6 0 0.00 0.54
Lebanon 1097 11 1.01 26 0 0.00 2.37
Sri Lanka 1089 21 1.97 9 0 0.00 0.83
Tunisia 1048 0 0.00 48 1 2.13 4.58
Latvia 1046 16 1.55 22 0 0.00 2.10
Kosovo 1025 21 2.09 29 0 0.00 2.83
Mali 1015 46 4.75 63 1 1.61 6.21
Venezuela 1010 66 6.99 10 0 0.00 0.99

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 359926 1772 0.49 29031 178 0.62 8.07 18501.81 1492.32 1 in 54
New Jersey 153140 561 0.37 11082 97 0.88 7.24 17241.24 1247.67 1 in 58
Illinois 107796 2352 2.23 4790 75 1.59 4.44 8506.75 378.00 1 in 118
California 92539 2287 2.53 3738 72 1.96 4.04 2342.03 94.60 1 in 427
Massachusetts 91662 773 0.85 6304 76 1.22 6.88 13189.72 907.12 1 in 76
Pennsylvania 71009 798 1.14 5112 102 2.04 7.20 5546.72 399.31 1 in 180
Texas 54776 1237 2.31 1478 8 0.54 2.70 1889.10 50.97 1 in 529
Michigan 54365 452 0.84 5223 65 1.26 9.61 5443.65 522.99 1 in 184
Florida 50127 676 1.37 2233 43 1.96 4.45 2333.91 103.97 1 in 428
Maryland 45495 1071 2.41 2243 36 1.63 4.93 7525.21 371.01 1 in 133
Georgia 42242 760 1.83 1822 14 0.77 4.31 3978.55 171.60 1 in 251
Connecticut 40022 382 0.96 3675 38 1.04 9.18 11225.46 1030.77 1 in 89
Louisiana 36925 0 0.00 2668 0 0.00 7.23 7942.92 573.91 1 in 126
Virginia 35749 799 2.29 1159 23 2.02 3.24 4188.26 135.79 1 in 239
Ohio 31408 614 1.99 1956 84 4.49 6.23 2686.95 167.34 1 in 372
Indiana 30901 492 1.62 1964 23 1.18 6.36 4590.02 291.73 1 in 218
Colorado 23964 477 2.03 1327 3 0.23 5.54 4161.33 230.43 1 in 240
North Carolina 22864 754 3.41 778 3 0.39 3.40 2180.00 74.18 1 in 459
Minnesota 19845 840 4.42 861 10 1.18 4.34 3518.85 152.67 1 in 284
Tennessee 19785 391 2.02 329 14 4.44 1.66 2895.43 48.15 1 in 345
Washington 19265 0 0.00 1050 0 0.00 5.45 2529.91 137.89 1 in 395
Iowa 16898 406 2.46 446 22 5.19 2.64 5355.82 141.36 1 in 187
Arizona 16053 429 2.75 801 26 3.35 4.99 2108.11 105.19 1 in 474
Wisconsin 14877 481 3.34 507 11 2.22 3.41 2555.12 87.08 1 in 391
Alabama 14117 447 3.27 549 8 1.48 3.89 2879.15 111.97 1 in 347
Rhode Island 13952 216 1.57 597 18 3.11 4.28 13170.20 563.55 1 in 76
Mississippi 13005 380 3.01 616 21 3.53 4.74 4369.74 206.98 1 in 229
Missouri 11966 130 1.10 682 5 0.74 5.70 1949.68 111.12 1 in 513
Nebraska 11963 301 2.58 147 0 0.00 1.23 6184.32 75.99 1 in 162
South Carolina 9895 257 2.67 425 6 1.43 4.30 1921.84 82.54 1 in 520
Kansas 8946 37 0.42 205 0 0.00 2.29 3070.73 70.37 1 in 326
Kentucky 8571 145 1.72 391 0 0.00 4.56 1918.45 87.52 1 in 521
Delaware 8529 0 0.00 322 0 0.00 3.78 8758.80 330.68 1 in 114
Utah 8260 203 2.52 97 4 4.30 1.17 2576.45 30.26 1 in 388
District of Columbia 7966 73 0.92 427 9 2.15 5.36 11287.30 605.03 1 in 89
Nevada 7526 1 0.01 387 1 0.26 5.14 2443.38 125.64 1 in 409
New Mexico 6625 0 0.00 302 0 0.00 4.56 3159.53 144.03 1 in 317
Oklahoma 5960 111 1.90 311 4 1.30 5.22 1506.20 78.60 1 in 664
Arkansas 5775 163 2.90 115 2 1.77 1.99 1913.63 38.11 1 in 523
South Dakota 4464 108 2.48 50 0 0.00 1.12 5046.01 56.52 1 in 198
New Hampshire 4089 75 1.87 208 4 1.96 5.09 3007.26 152.97 1 in 333
Oregon 3888 24 0.62 147 0 0.00 3.78 921.82 34.85 1 in 1085
Puerto Rico 3100 70 2.31 127 1 0.79 4.10 970.66 39.77 1 in 1030
Idaho 2595 0 0.00 79 0 0.00 3.04 1448.05 44.08 1 in 691
North Dakota 2365 48 2.07 52 0 0.00 2.20 3103.42 68.24 1 in 322
Maine 2013 65 3.34 77 2 2.67 3.83 1497.53 57.28 1 in 668
West Virginia 1705 0 0.00 72 0 0.00 4.22 954.03 40.29 1 in 1048
Vermont 954 2 0.21 54 0 0.00 5.66 1528.87 86.54 1 in 654
Wyoming 813 10 1.25 12 0 0.00 1.48 1404.73 20.73 1 in 712
Hawaii 643 1 0.16 17 0 0.00 2.64 454.14 12.01 1 in 2202
Montana 479 0 0.00 16 0 0.00 3.34 448.18 14.97 1 in 2231
Alaska 407 4 0.99 10 0 0.00 2.46 556.36 13.67 1 in 1797

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1652061 359926 21.79 84923.32
New Jersey 578735 153140 26.46 65156.79
Illinois 722247 107796 14.93 56996.31
California 1515306 92539 6.11 38350.31
Massachusetts 520986 91662 17.59 74967.38
Pennsylvania 388452 71009 18.28 30343.10
Texas 762706 54776 7.18 26303.94
Michigan 450918 54365 12.06 45151.14
Florida 856437 50127 5.85 39875.57
Maryland 232327 45495 19.58 38428.60
Georgia 453537 42242 9.31 42716.30
Connecticut 208367 40022 19.21 58443.26
Louisiana 314447 36925 11.74 67640.55
Virginia 232470 35749 15.38 27235.60
Ohio 316494 31408 9.92 27075.99
Indiana 214933 30901 14.38 31926.03
Colorado 144952 23964 16.53 25170.80
North Carolina 329582 22864 6.94 31424.42
Minnesota 189493 19845 10.47 33600.24
Tennessee 373758 19785 5.29 54697.57
Washington 308358 19265 6.25 40494.07
Iowa 123941 16898 13.63 39283.12
Arizona 180439 16053 8.90 23695.54
Wisconsin 194206 14877 7.66 33354.78
Alabama 182676 14117 7.73 37256.60
Rhode Island 130132 13952 10.72 122840.09
Mississippi 134220 13005 9.69 45098.55
Missouri 148304 11966 8.07 24163.87
Nebraska 79982 11963 14.96 41347.02
South Carolina 158910 9895 6.23 30864.02
Kansas 76434 8946 11.70 26236.10
Kentucky 171459 8571 5.00 38377.70
Delaware 50534 8529 16.88 51895.53
Utah 190779 8260 4.33 59507.64
District of Columbia 51991 7966 15.32 73667.83
Nevada 107047 7526 7.03 34753.76
New Mexico 158383 6625 4.18 75534.53
Oklahoma 160903 5960 3.70 40663.17
Arkansas 103047 5775 5.60 34146.12
South Dakota 33528 4464 13.31 37899.35
New Hampshire 59539 4089 6.87 43787.98
Oregon 110207 3888 3.53 26129.41
Puerto Rico 3100 3100 100.00 970.66
Idaho 40609 2595 6.39 22660.45
North Dakota 64148 2365 3.69 84176.88
Maine 37463 2013 5.37 27869.86
West Virginia 83744 1705 2.04 46859.04
Vermont 27424 954 3.48 43949.49
Wyoming 20034 813 4.06 34615.44
Hawaii 48821 643 1.32 34481.22
Montana 32652 479 1.47 30550.78
Alaska 42351 407 0.96 57892.54

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 47190 2608 5.85 13404 28.40 32209 1577 60 3.96 3.34
Tamil Nadu 15512 759 5.14 7491 48.29 7917 104 5 5.05 0.67
Gujarat 13669 396 2.98 6169 45.13 6671 829 27 3.37 6.06
Delhi 12910 591 4.80 6267 48.54 6412 231 23 11.06 1.79
Rajasthan 6742 248 3.82 3786 56.16 2796 160 7 4.58 2.37
Madhya Pradesh 6371 201 3.26 3267 51.28 2823 281 9 3.31 4.41
Uttar Pradesh 6017 282 4.92 3406 56.61 2456 155 3 1.97 2.58
West Bengal 3459 127 3.81 1281 37.03 1909 269 4 1.51 7.78
Andhra Pradesh 2714 47 1.76 1779 65.55 879 56 1 1.82 2.06
Bihar 2394 228 10.53 629 26.27 1754 11 0 0.00 0.46
Punjab 2045 16 0.79 1870 91.44 136 39 0 0.00 1.91
Karnataka 1959 216 12.39 608 31.04 1307 42 1 2.44 2.14
State Unassigned 1899 0 0.00 0 0.00 1899 0 0 NaN 0.00
Telangana 1813 52 2.95 1068 58.91 696 49 1 2.08 2.70
Jammu and Kashmir 1569 80 5.37 774 49.33 774 21 1 5.00 1.34
Odisha 1269 80 6.73 497 39.16 765 7 0 0.00 0.55
Haryana 1131 64 6.00 750 66.31 365 16 0 0.00 1.41
Kerala 795 62 8.46 515 64.78 275 5 0 0.00 0.63
Jharkhand 350 27 8.36 141 40.29 206 3 0 0.00 0.86
Assam 347 87 33.46 57 16.43 283 4 0 0.00 1.15
Uttarakhand 244 91 59.48 55 22.54 188 1 0 0.00 0.41
Chandigarh 225 6 2.74 179 79.56 43 3 0 0.00 1.33
Chhattisgarh 214 42 24.42 64 29.91 150 0 0 NaN 0.00
Tripura 191 16 9.14 152 79.58 39 0 0 NaN 0.00
Himachal Pradesh 185 17 10.12 57 30.81 121 4 0 0.00 2.16
Goa 55 1 1.85 16 29.09 39 0 0 NaN 0.00
Ladakh 49 3 6.52 43 87.76 6 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Manipur 27 1 3.85 2 7.41 25 0 0 NaN 0.00
Puducherry 26 0 0.00 10 38.46 16 0 0 NaN 0.00
Meghalaya 14 0 0.00 12 85.71 1 1 0 0.00 7.14
Dadra and Nagar Haveli and Daman and Diu 2 1 100.00 1 50.00 1 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Sikkim 1 1 Inf 0 0.00 1 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 658784 86825 441 0.51 13.18 4026 199 25630 15840 18.24
Piemonte 281897 30137 60 0.20 10.69 1291 76 8025 3771 12.51
Emilia-Romagna 287382 27513 43 0.16 9.57 524 84 4570 4047 14.71
Veneto 572834 19069 10 0.05 3.33 205 14 2841 1865 9.78
Toscana 226046 10047 12 0.12 4.44 157 40 1766 1011 10.06
Liguria 91735 9427 38 0.40 10.28 247 20 1734 1414 15.00
Lazio 230743 7607 18 0.24 3.30 1097 60 3581 676 8.89
Marche 94657 6701 4 0.06 7.08 100 15 1713 993 14.82
Campania 166692 4744 11 0.23 2.85 295 10 1273 404 8.52
Puglia 101738 4448 8 0.18 4.37 215 17 1805 486 10.93
P.A. Trento 78185 4395 7 0.16 5.62 28 4 565 456 10.38
Sicilia 131913 3421 0 0.00 2.59 95 9 1512 269 7.86
Friuli Venezia Giulia 116689 3233 6 0.19 2.77 63 1 459 327 10.11
Abruzzo 65290 3221 1 0.03 4.93 156 4 1168 394 12.23
P.A. Bolzano 59671 2590 0 0.00 4.34 35 5 214 291 11.24
Umbria 63009 1430 1 0.07 2.27 15 2 56 74 5.17
Sardegna 49675 1356 0 0.00 2.73 58 6 287 129 9.51
Valle d’Aosta 13828 1177 0 0.00 8.51 23 2 35 143 12.15
Calabria 61892 1157 0 0.00 1.87 43 1 288 96 8.30
Molise 13017 431 5 1.17 3.31 8 2 189 22 5.10
Basilicata 25511 398 4 1.02 1.56 14 1 41 27 6.78

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 46847 697 1.51 3941 75 1.94 8.41 5487.09 461.60 1 in 182
Ontario 26560 475 1.82 2157 28 1.32 8.12 1805.35 146.62 1 in 554
Alberta 6818 18 0.26 135 1 0.75 1.98 1544.93 30.59 1 in 647
British Columbia 2517 10 0.40 157 2 1.29 6.24 492.48 30.72 1 in 2031
Nova Scotia 1049 1 0.10 58 0 0.00 5.53 1073.19 59.34 1 in 932
Saskatchewan 630 3 0.48 7 0 0.00 1.11 533.15 5.92 1 in 1876
Manitoba 292 0 0.00 7 0 0.00 2.40 211.98 5.08 1 in 4718
Newfoundland and Labrador 260 0 0.00 3 0 0.00 1.15 498.69 5.75 1 in 2005
New Brunswick 121 0 0.00 0 0 NaN 0.00 155.13 0.00 1 in 6446
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1592 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1065 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 668 7 1.05
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 563 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 217 1 0.46
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4959.08 296.72 1 in 202
Brazil 1659.81 105.17 1 in 602
Russia 2324.44 23.45 1 in 430
United Kingdom 3890.79 553.24 1 in 257
Spain 5042.65 614.62 1 in 198
Italy 3791.78 541.25 1 in 264
France 2717.36 421.23 1 in 368
Germany 2174.01 99.78 1 in 460
Turkey 1926.57 53.31 1 in 519
Iran 1645.16 90.67 1 in 608
India 98.15 2.89 1 in 10188
Peru 3598.20 104.85 1 in 278
Canada 2265.26 172.01 1 in 441
China 60.67 3.35 1 in 16484
Saudi Arabia 2129.96 11.51 1 in 469
Mexico 509.72 55.57 1 in 1962
Chile 3622.88 37.29 1 in 276
Belgium 4983.33 810.26 1 in 201
Pakistan 266.18 5.59 1 in 3757
Netherlands 2634.75 339.35 1 in 380

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 197266 21138 10.72
Cook Illinois 70417 3246 4.61
Los Angeles California 44121 2092 4.74
Nassau New York 39726 2087 5.25
Suffolk New York 38802 1822 4.70
Westchester New York 32881 1327 4.04
Philadelphia Pennsylvania 21234 1233 5.81
Middlesex Massachusetts 20232 1512 7.47
Wayne Michigan 19697 2361 11.99
Hudson New Jersey 18959 1138 6.00
Bergen New Jersey 17668 1521 8.61
Suffolk Massachusetts 17291 827 4.78
Essex New Jersey 17160 1589 9.26
Miami-Dade Florida 16694 629 3.77
Passaic New Jersey 15610 888 5.69
Middlesex New Jersey 15215 942 6.19
Union New Jersey 15186 1022 6.73
Fairfield Connecticut 14989 1208 8.06
Essex Massachusetts 13334 848 6.36
Prince George’s Maryland 13324 484 3.63
Rockland New York 12934 618 4.78
New Haven Connecticut 10847 897 8.27
Harris Texas 10770 219 2.03
Providence Rhode Island 10519 0 0.00
Worcester Massachusetts 10251 667 6.51
Orange New York 10197 429 4.21
Montgomery Maryland 9699 550 5.67
Hartford Connecticut 9545 1169 12.25
Marion Indiana 9040 531 5.87
Fairfax Virginia 8945 326 3.64
Dallas Texas 8649 210 2.43
Ocean New Jersey 8316 686 8.25
Oakland Michigan 8192 954 11.65
Maricopa Arizona 8177 383 4.68
District of Columbia District of Columbia 7966 427 5.36
Norfolk Massachusetts 7759 774 9.98
Monmouth New Jersey 7720 551 7.14
King Washington 7669 542 7.07
Plymouth Massachusetts 7480 501 6.70
Lake Illinois 7465 250 3.35
Jefferson Louisiana 7232 432 5.97
Orleans Louisiana 6944 500 7.20
DuPage Illinois 6891 339 4.92
Broward Florida 6649 292 4.39
Hennepin Minnesota 6649 524 7.88
San Diego California 6559 249 3.80
Macomb Michigan 6482 778 12.00
Riverside California 6464 290 4.49
Montgomery Pennsylvania 6464 633 9.79
Bristol Massachusetts 6426 362 5.63

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc